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Quantile Regression Methods: na Application to U.S. Unemployment Duration

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  • Pedro Portugal
  • José A. F. Machado

Abstract

Quantile regression constitutes a natural and flexible framework for the analysis of duration data in general and unemployment duration in particular. Comparison of the quantile regressions for lower and upper tails of the duration distribution shed important insights on the different determinants of short or long-term unemployment. Using quantile regression techniques, we estimate conditional quantile functions of US unemployment duration; then, resampling the estimated conditional quantile process we are able to infer the implied hazard functions. The proposed methodology proves to be resilient to several misspecification that typically afflict proportional hazard models such as, neglected heterogeneity and baseline misspecification. Overall, the results provide clear indications of the interest of quantile regression to the analysis of duration data.

Suggested Citation

  • Pedro Portugal & José A. F. Machado, 2002. "Quantile Regression Methods: na Application to U.S. Unemployment Duration," Working Papers w200201, Banco de Portugal, Economics and Research Department.
    • Handle: RePEc:ptu:wpaper:w200201
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    Cited by:

    1. repec:iab:iabfme:200709(en is not listed on IDEAS
    2. Wilke, Ralf A. & Wichert, Laura, 2005. "Application of a simple nonparametric conditional quantile function estimator in unemployment duration analysis," ZEW Discussion Papers 05-67 [rev.], ZEW - Leibniz Centre for European Economic Research.
    3. Mário Centeno & Álvaro Novo, 2006. "The Impact of Unemployment Insurance on the Job Match Quality: A Quantile Regression Approach," Empirical Economics, Springer, vol. 31(4), pages 905-919, November.
    4. Bernd Fitzenberger & Ralf Wilke, 2006. "Using quantile regression for duration analysis," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 105-120, March.
    5. Wichert, Laura & Wilke, Ralf A., 2007. "Simple nonparametric estimators for unemployment duration analysis," FDZ Methodenreport 200709_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Mário Centeno, 2006. "The Impact of Unemployment Insurance Generosity on Match Quality Distribution," Working Papers w200612, Banco de Portugal, Economics and Research Department.
    7. Fitzenberger, Bernd & Wilke, Ralf A., 2007. "New insights on unemployment duration and post unemployment earnings in Germany: censored Box-Cox quantile regression at work," ZEW Discussion Papers 07-007, ZEW - Leibniz Centre for European Economic Research.
    8. Carlos Alberto Foronda Rojas & Andrea Alcaráz, 2015. "Estimation and characteristics of unemployment duration in Bolivia," Investigación & Desarrollo 0215, Universidad Privada Boliviana, revised Jun 2015.
    9. Centeno, Mario & Novo, Alvaro A., 2006. "The impact of unemployment insurance generosity on match quality distribution," Economics Letters, Elsevier, vol. 93(2), pages 235-241, November.

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